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Evaluation of the social and economic impact of carbon dioxide (CO2) emissions on sustainable mobility using cumulative ordinal models: trend odds model

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  • D'Ambra, Luigi
  • Crisci, Anna
  • Meccariello, Giovanni
  • Della Ragione, Livia
  • Palma, Raffaela

Abstract

In the context of environmental sustainability evaluation, grouped under climate change, health and ecosystem themes, an impact that could be investigated is the Global Warming Potential (GWP), whose sources are a multitude. In urban areas the evaluation of real vehicles emissions is an essential activity in order to suggest possible solution to local administrators. They still express the need to improve and maintain the characteristics of the breathing air at the best possible quality level. Moreover, these solutions, such as planning measures or traffic control management in respect of pollution, would be apply at different geographical levels, i.e. national, regional or urban scale. Another factor to be investigated is the effect of technologies and emission control systems to comply more stringent limits (Euro 4/5/6) and improve air quality to a lower environmental impact. GWP, indicator of climate change, is measured in terms of CO2 equivalency emission values variable. To perform this activity an experimental campaign was carried out with several vehicles from different manufacturers and with a wide variety in terms of mass, power, engine displacement and type approval technology. The experimental plan includes some repetitions of the urban section in Naples city centre.

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  • D'Ambra, Luigi & Crisci, Anna & Meccariello, Giovanni & Della Ragione, Livia & Palma, Raffaela, 2021. "Evaluation of the social and economic impact of carbon dioxide (CO2) emissions on sustainable mobility using cumulative ordinal models: trend odds model," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
  • Handle: RePEc:eee:soceps:v:75:y:2021:i:c:s0038012119305257
    DOI: 10.1016/j.seps.2020.100817
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    References listed on IDEAS

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    1. Bell, Michelle L. & Hobbs, Benjamin F. & Ellis, Hugh, 2003. "The use of multi-criteria decision-making methods in the integrated assessment of climate change: implications for IA practitioners," Socio-Economic Planning Sciences, Elsevier, vol. 37(4), pages 289-316, December.
    2. Aldieri, Luigi & Bruno, Bruna & Vinci, Concetto Paolo, 2019. "Does environmental innovation make us happy? An empirical investigation," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 166-172.
    3. Bercedis Peterson & Frank E. Harrell, 1990. "Partial Proportional Odds Models for Ordinal Response Variables," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 39(2), pages 205-217, June.
    4. Quaglione, Davide & Cassetta, Ernesto & Crociata, Alessandro & Marra, Alessandro & Sarra, Alessandro, 2019. "An assessment of the role of cultural capital on sustainable mobility behaviours: Conceptual framework and empirical evidence," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 24-34.
    5. Luigi D’Ambra & Pietro Amenta & Antonello D’Ambra, 2018. "Decomposition of cumulative chi-squared statistics, with some new tools for their interpretation," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(2), pages 297-318, June.
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    1. Gallucci, Carmen & Santulli, Rosalia & Lagasio, Valentina, 2022. "The conceptualization of environmental, social and governance risks in portfolio studies A systematic literature review," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    2. Ghanbarzadeh-Shams, M. & Ghasemy Yaghin, R. & Sadeghi, A.H., 2022. "A hybrid fuzzy multi-objective model for carpet production planning with reverse logistics under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    3. Abbas, Hasnain & Zhao, Lindu & Gong, Xi & Faiz, Narmeen, 2023. "The perishable products case to achieve sustainable food quality and safety goals implementing on-field sustainable supply chain model," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).

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